Coping with climate change through land use optimization: a Gurobi Python implementation

Negative impacts of climate change anticipated for the future require the development and implementation of strategies to mitigate climate change, aimed at reducing concentrations of greenhouse gases in the atmosphere. Nowadays, it is also essential to complement this approach with climate change ad...

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Detalles Bibliográficos
Autor principal: Yapura, Pablo Fernando
Formato: Objeto de aprendizaje
Lenguaje:Inglés
Publicado: 2025
Materias:
Ciencias Agrarias
Land use change
Land use planning
Climate change mitigation and adaptation
IPCC emissions scenarios
Multi-objective linear programming
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/178444
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-178444
record_format dspace
spelling I19-R120-10915-1784442025-04-24T17:06:21Z http://sedici.unlp.edu.ar/handle/10915/178444 Coping with climate change through land use optimization: a Gurobi Python implementation Yapura, Pablo Fernando 2025-04-22 2025-04-24T17:06:19Z en Ciencias Agrarias Land use change Land use planning Climate change mitigation and adaptation IPCC emissions scenarios Multi-objective linear programming Negative impacts of climate change anticipated for the future require the development and implementation of strategies to mitigate climate change, aimed at reducing concentrations of greenhouse gases in the atmosphere. Nowadays, it is also essential to complement this approach with climate change adaptation programs that focus on adjusting human and natural systems to the anticipated climate and its effects in order to alleviate or avoid damages, as well as to seize potential opportunities. In the past 150 years, land use and land use change, as human activities, were responsible for nearly one-third of total greenhouse gas emissions and thus were major contributors to global warming. But with a major shift in approach, enhancing planning and guided by sustainability, land use and land use change can play important, beneficial roles in climate change mitigation and adaptation strategies. In this Jupyter Notebook, an illustrative problem of land use planning incorporating climate change scenarios is formulated as a multi-objective linear program and solved with the well-known and powerful Gurobi solver. The Jupyter Notebook is stored in the server provided by Google Colab to run online Python code and is ready to call the size-limited free-trial license of the solver for the optimization. Facultad de Ciencias Agrarias y Forestales Objeto de aprendizaje Objeto de aprendizaje http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/octet-stream
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
Land use change
Land use planning
Climate change mitigation and adaptation
IPCC emissions scenarios
Multi-objective linear programming
spellingShingle Ciencias Agrarias
Land use change
Land use planning
Climate change mitigation and adaptation
IPCC emissions scenarios
Multi-objective linear programming
Yapura, Pablo Fernando
Coping with climate change through land use optimization: a Gurobi Python implementation
topic_facet Ciencias Agrarias
Land use change
Land use planning
Climate change mitigation and adaptation
IPCC emissions scenarios
Multi-objective linear programming
description Negative impacts of climate change anticipated for the future require the development and implementation of strategies to mitigate climate change, aimed at reducing concentrations of greenhouse gases in the atmosphere. Nowadays, it is also essential to complement this approach with climate change adaptation programs that focus on adjusting human and natural systems to the anticipated climate and its effects in order to alleviate or avoid damages, as well as to seize potential opportunities. In the past 150 years, land use and land use change, as human activities, were responsible for nearly one-third of total greenhouse gas emissions and thus were major contributors to global warming. But with a major shift in approach, enhancing planning and guided by sustainability, land use and land use change can play important, beneficial roles in climate change mitigation and adaptation strategies. In this Jupyter Notebook, an illustrative problem of land use planning incorporating climate change scenarios is formulated as a multi-objective linear program and solved with the well-known and powerful Gurobi solver. The Jupyter Notebook is stored in the server provided by Google Colab to run online Python code and is ready to call the size-limited free-trial license of the solver for the optimization.
format Objeto de aprendizaje
Objeto de aprendizaje
author Yapura, Pablo Fernando
author_facet Yapura, Pablo Fernando
author_sort Yapura, Pablo Fernando
title Coping with climate change through land use optimization: a Gurobi Python implementation
title_short Coping with climate change through land use optimization: a Gurobi Python implementation
title_full Coping with climate change through land use optimization: a Gurobi Python implementation
title_fullStr Coping with climate change through land use optimization: a Gurobi Python implementation
title_full_unstemmed Coping with climate change through land use optimization: a Gurobi Python implementation
title_sort coping with climate change through land use optimization: a gurobi python implementation
publishDate 2025
url http://sedici.unlp.edu.ar/handle/10915/178444
work_keys_str_mv AT yapurapablofernando copingwithclimatechangethroughlanduseoptimizationagurobipythonimplementation
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